Parth Bhaiya, Alaqmar Karampurwala, Abhishek Tiwari
et al.
This paper presents a compact, high-performance, linearly polarized patch antenna personalized for 5.9 GHz Vehicle-to-Everything (V2X) communication. The antenna, designed on a flexible neoprene rubber substrate with a measured dielectric constant of 5.85 and a loss tangent of 0.016, achieves a 10% drop in patch size compared to standard designs. The dielectric properties of neoprene were characterized using the two-waveguide method, ensuring precise optimization of performance. Neoprene’s exceptional thermal stability, water resistance in harsh weather conditions, and durability at temperatures up to 200°C make it a highly reliable material for automotive applications. The proposed antenna’s compact size, mechanical flexibility, and cost-effectiveness allow continuous and easy integration on vehicle rooftops, enabling advanced communication capabilities. This work contributes to scalable, sustainable innovations in vehicular communication systems, laying the foundations for smarter and safer transportation networks.
Andrew Balthrop, Justin T. Kistler, Yemisi Bolumole
et al.
<i>Background:</i> Carbon pricing in the form of fuel taxes is an important tool for abating climate change. This study examines the impact and pass-through of fuel taxes in the truckload freight market. <i>Methods:</i> State-level truckload market data, integrated with retail diesel prices, are analyzed using fixed-effects regression modeling. <i>Results:</i> Taxes and fuel costs are not only passed on by diesel retailers to motor carriers; the results reveal the overshifting of diesel taxes from motor carriers to shippers. <i>Conclusions:</i> The findings are consistent with inelastic short-term demand for long-haul carriage, indicating that relatively large price increases will be necessary to reduce diesel consumption in the trucking industry.
Transportation and communication, Management. Industrial management
William Machado Emiliano, Thalyta Cristina Mansano Schlosser, Vitor Eduardo Molina Júnior
et al.
<i>Background</i>: This study aims to compare the logistical challenges of Home Health Care (HHC) services in Portugal and Brazil, highlighting the structural and operational differences between both systems. <i>Methods</i>: Guided by an abductive research approach, data were collected using a semi-structured survey with open-ended questions, applied to 13 HHC teams in Portugal and 18 in Brazil, selected based on national coordination recommendations. The data collection process was conducted in person, and responses were analyzed using descriptive statistics and qualitative content analysis. <i>Results</i>: The results reveal that Portugal demonstrates higher productivity, stronger territorial coverage, and a more integrated inventory management system, while Brazil presents greater multidisciplinary team integration, more flexible fleet logistics, and more advanced digital health records. Despite these strengths, both countries continue to address key logistical aspects, such as scheduling, supply distribution, and data management, largely through empirical strategies. <i>Conclusions</i>: This research contributes to the theoretical understanding of international HHC logistics by emphasizing strategic and systemic aspects often overlooked in operational studies. In practical terms, it offers insights for public health managers to improve resource allocation, fleet coordination, and digital integration in aging societies.
Transportation and communication, Management. Industrial management
Intelligent Transportation Systems (ITS) are revolutionizing modern transportation by enhancing safety, efficiency, and sustainability through advanced communication technologies. A critical component of ITS is the development of robust communication systems that enable seamless information exchange between vehicles, infrastructure, and other network entities. This research paper presents a comprehensive study on the design and implementation of communication systems for ITS, focusing on emerging technologies such as Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Everything (V2X) communications. The proposed system leverages advanced wireless communication standards, including Dedicated Short-Range Communication (DSRC), cellular-V2X (C-V2X), and 5G, to facilitate real-time data transmission with high reliability and low latency. The study employs a hybrid simulation approach to evaluate the performance of the proposed system under varying traffic conditions and environments. Experimental results demonstrate significant improvements in communication efficiency, safety measures, and traffic management. The findings contribute to the development of next-generation ITS by providing insights into optimal communication strategies and paving the way for more resilient and adaptive transportation networks.
This study explores the links between ICTs, transport, and CO2 emissions. Despite the harmful consequences of transport activity on the environmental quality, there is less scientific attention accorded to this major issue. In this regard, we explore the possibility of reducing environmental damages through the association of new technologies with freight transport activities (i.e. inland, rail, and air). The empirical technique based on 43 countries between 2002 and 2014 employs the 2-step system Generalized Method of Moments (GMM). Overall, the results are very ambitious confirming the ability of ICT in dampening pollution once it's well adapted in the transportation sector. First, the telephone and mobile phones are the most efficient technologies in terms of environmental sustainability when used in the rail and the inland transport sector, while the internet is best utilized in the air transport sector. Second, the telephone plays the role of an accelerator when interacting with intermodality to better improve the environment. Public policies and their implications are considered in the study.
Intelligent control of traffic has significant influence on the scheduling efficiency of urban traffic flow. Therefore, in order to improve the efficiency of vehicles at intersections, first, the Back Propagation (BP) neural network is used to propose a vehicle passing model at the intersection, and based on the intelligent traffic control system model, the Earliest Deadline First (EDF) dynamic scheduling algorithm is used to improve the Controller Area Network (CAN) communication network. Finally, the simulation test is used to evaluate the effectiveness of the proposed model and the improved CAN bus communication network. The results show that the neural network model can be used to predict the passage time of vehicles queuing at intersections with an error of less than 10%. The improved CAN bus communication can improve the data transmission rate, and the success rate of data transmission under different load rates is above 95%. In conclusion, the application of artificial intelligence technology in intelligent traffic system can improve the efficiency of vehicle scheduling and the efficiency of communication system. This research is of great significance to improve the communication performance of the transportation system and scheduling efficiency.
With the development of intelligent transportation, growing attention has been received to integrated sensing and communication (ISAC) systems. In this paper, we formulate a novel passive sensing technique to obtain information on the vehicle’s direction of arrival (DOA) using reconfigurable intelligent surfaces (RIS). A novel estimation method is proposed in the scenario with a receiver using only one full-functional channel, where multiple measurements for the DOA estimation are achieved by controlling the reflection matrix (measurement matrix) in the RIS. Moreover, different from the existing estimation methods, we also consider the interference signals introduced by wireless communication in the ISAC system. Then, we propose a novel atomic norm-based method to remove the interference signals and reconstruct the sparse signal. Additionally, a novel Hankel-based multiple signal classification (MUSIC) method is formulated to obtain the DOA information after the interference removal. To reduce the interference signals more efficiently and improve the performance of the sparse reconstruction, we optimize the measurement matrix to improve the signal-to-interference-plus-noise ratio (SINR). Finally, the theoretical Cram’er-Rao lower bound (CRLB) is derived for the ISAC system on the vehicle DOA estimation. Simulation results show that the proposed method can achieve better performance in the DOA estimation, and the corresponding CRLB with different distributions of the sensing nodes are shown. The code for the proposed method is available online https://github.com/chenpengseu/PassiveDOA-ISAC-RIS.git.
Tamara Zhukabayeva, Nurdaulet Karabayev, Asel Nurusheva
et al.
The article proposes an approach to information security vulnerability analysis and threat modeling in wireless Internet of Things networks for Smart City infrastructures. Currently, such infrastructures are becoming increasingly widespread in a variety of Smart City application areas, including industrial life support systems, pipelines, communication networks, and transportation systems. The wide coverage of end users, the critical nature of such infrastructures and the value of their inherent assets determine the increasing importance of solving problems of determining the security level of such infrastructures and the timely application of protective measures. The ultimate goal of the proposed approach is to assess the security of the infrastructure. This article analyses articles at the intersection of the subject area of vulnerability and attack analysis in information systems and networks and the area of Smart City infrastructure issues. The proposed approach includes the use of an analytical model of an intruder which, together with the analysis of the specification of a specific Smart City infrastructure, allows us to determine the current types of attacks. In order to obtain infrastructure security assessments, the CAPEC database of wireless network vulnerabilities and attack patterns is analysed. In this case, the main attributes of the attacks are identified, unified and transformed into a single format using the numerical values of the considered attributes. The feasibility of the proposed approach is also analysed and its main advantages and disadvantages are considered. In addition, the main areas of further activity and tasks related to testing and improving the proposed approach in practice are identified.
With the rapid advancement of autonomous vehicles reshaping urban transportation, the importance of innovative traffic management solutions has escalated. This research addresses these challenges through the deployment of roadside units (RSUs), aimed at enhancing traffic flow and safety within the autonomous driving era. Our research, conducted in diverse road settings such as straight and traffic circle roads, delves into the RSUs’ capacity to diminish traffic density and alleviate congestion. Employing vehicle-to-infrastructure communication, we can scrutinize its essential role in navigating autonomous vehicles, incorporating basic safety messages (BSMs) and probe vehicle data (PVD) to accurately monitor vehicle presence and status. This paper presupposes the connectivity of all vehicles, contemplating the integration of on-board units or on-board diagnostics in legacy vehicles to extend connectivity, albeit this aspect falls beyond the work’s current ambit. Our detailed experiments on two types of roads demonstrate that vehicle behavior is significantly impacted when density reaches critical thresholds of 3.57% on straight roads and 34.41% on traffic circle roads. However, it is important to note that the identified threshold values are not absolute. In our experiments, these thresholds represent points at which the behavior of one vehicle begins to significantly impact the flow of two or more vehicles. At these levels, we propose that RSUs intervene to mitigate traffic issues by implementing measures such as prohibiting lane changes or restricting entry to traffic circles. We propose a new message set in PVD for RSUs: road balance. Using this message, RSUs can negotiate between vehicles. This approach underscores the RSUs’ capability to actively manage traffic flow and prevent congestion, highlighting their critical role in maintaining optimal traffic conditions and enhancing road safety.
Türkiye, the strategic bridge between Asia and Europe, has a unique geopolitical position that encourages cooperation with neighboring and regional partners. The purpose of this study is to identify the key transport corridors in Türkiye using the SWOT model and evaluate the potential of these routes. The purpose of this research is to discover the current transportation and communication capacities of Türkiye and how they are useful for neighboring countries and Central Asia. This study examines strengths, weaknesses, opportunities, and threats to address challenges and uncover opportunities.Issues such as lack of budget, imbalance in energy transfer and political instability of neighboring countries have affected the country and make it face challenges. But the ports of Türkiye and the favorable geopolitical position of Türkiye, as well as the presence of extensive airline lines and important airlines company such as Turkish Airline, in this country, is a significant potential for commercial and economic growth in the transportation sector. If the challenges are resolved and attention is paid to the opportunities and privileged positions of Türkiye and the countries of Central Asia, they will be able to benefit from cooperation.
Key words: Türkiye, Transportation Corridors, Energy, SWOT model, Central Asian Countries.
ABSTRACT The debate on the role of information and communication technology (ICT) in environmental sustainability remains a puzzle in empirical research. It is unclear whether ICT can help mitigate the after-effects of carbon emissions and, in turn, alleviate the unavoidable consequences of climate change. In this study, we examined the role of ICT in environmental sustainability for a panel of 24 Organisation for Economic Cooperation and Development (OECD) countries. We used an annual dataset obtained from the World Bank covering 40 years (1980–2019). Our empirical strategy was based on the standard fixed effects panel and the Arellano-Bover/Blundell-Bond dynamic panel approach. Our empirical findings highlight the importance of using ICT to promote environmental sustainability. Additionally, we identified the mechanisms through which ICT can affect the environment, namely education, transportation, foreign direct investment, regulatory quality, and institutional quality. The present study has critical implications for combatting climate change. Policymakers should pay attention not only to ICT but also to other identified mechanisms that play complementary roles in promoting a sustainable environment.
The general public has used a lot of vehicles in recent years. Due to this, huge number of accidents and traffic jams have occurred, more infrastructure and security are required. So, to get around this problem, a vehicle-to-vehicle intelligent transport system communication algorithm is proposed to control traffic jams, improve security, and data accuracy by using the CMS Domain Model and direct V2V communication. The proposed algorithm showed better performance as compared to conventional methods such as multi-access edge computing networks and dedicated short-range communications (DSRC) with respect to travel time estimation, travel time efficiency, average vehicle speed and speed improvement. The time travel efficiency, vehicle speed, and time estimation has improved by 0.23%, 0.42%, and 0.21%, respectively.
Hafida Khalfaoui, Abdellah Azmani, Abderrazak Farchane
et al.
Intelligent transportation systems use new technologies to improve road safety. In them, vehicles have been equipped with wireless communication systems called on-board units (OBUs) to be able to communicate with each other. This type of wireless network refers to vehicular ad hoc networks (VANET). The primary problem in a VANET is the quality of service (QoS) because a small problem in the services can extremely damage both human lives and the economy. From this perspective, this article makes a contribution within the framework of a new conceptual project called the Smart Digital Logistic Services Provider (Smart DLSP). This is intended to give freight vehicles more intelligence in the service of logistics on a global scale. This article proposes a model that combines two approaches—a Bayesian network and fuzzy logic for calculating the QoS in a VANET as a function of multiple criteria—and provides a database that helps determine the originality of the risk of degrading the QoS in the network. The outcome of this approach was employed in an event tree analysis to assess the impact of the system’s security mechanisms.
The construction of new critical infrastructure, represented by high-speed full-time signal coverage, intelligent and fine-grained urban management, and deep space and deep sea scientific innovation experimental fields, has entered a new stage with the deep integration and development of new technologies such as 5G/6G, artificial intelligence, and blockchain in various fields.The security evaluation of cryptography applications, as a key technological resource for ensuring the security of national information, integration, and innovation infrastructure, has risen to the level of international law and national development strategy.It is urgent to construct a comprehensive, fine-grained, and self-evolving cryptography security evaluation system throughout the data lifecycle.The typical APT attacks and ransomware attacks faced by new critical infrastructure in industries such as energy, medicine, and transportation in recent years were considered.And then the growing demand for security evaluation of cryptography applications was analyzed in the face of new business requirements such as preventing endogenous data security risks, achieving differentiated privacy protection, and supporting authenticated attack traceability.The new challenges were also examined, which were brought by new information infrastructure (including big data, 5G communication, fundamental software, etc.), integration infrastructure (including intelligent connected vehicles, intelligent connected industrial control systems, etc.), and innovation infrastructure (including big data, artificial intelligence, blockchain, etc.) to the security evaluation of cryptography applications.Furthermore, the new requirements were revealed about domestically produced cryptography algorithms and protocols deployed on high-performance computing chips, ultra-high-speed communication modules, and large-capacity storage media for cryptography application security evaluation technology.Finally, the development of automated and intelligent cryptography application security evaluation technology was explored.
Md. Ashraful Haque, M.A. Zakariya, Samir Salem Al-Bawri
et al.
In recent years, improvements in wireless communication have led to the development of microstrip or patch antennas. The article discusses using simulation, measurement, an RLC equivalent circuit model, and machine learning to assess antenna performance. The antenna's dimensions are 1.01 λ0×0.612λ0 with respect to the lowest operating frequency, the maximum achieved gain is 6.76 dB, the maximum directivity is 8.21 dBi, and the maximum efficiency is 83.05%. The prototype's measured return loss is compared to CST and ADS simulations. The prediction of gain and directivity of the antenna is determined using a different supervised regression machine learning (ML) method. The performance of ML models is measured by the variance score, R square, mean square error (MSE), mean absolute error (MAE), root mean square error (RMSE), and mean squared logarithmic error (MSLE), etc. With errors of less than unity and an accuracy of roughly 98%, Ridge regression gain prediction outperforms the other seven ML models. Gaussian process regression is the best method for predicting directivity. Finally, modeling results from CST and ADS, as well as measured and anticipated results from machine learning, reveal that the suggested antenna is a good candidate for LTE.
Abstract In seeking to improve traffic congestion and safety on roads and highways, there has been an increased interest in intelligent transportation systems (ITS). The emerging visible light communication (VLC) technology is a new candidate to enable wireless access in ITS. The purpose of this study is to present a comprehensive review of the current studies related to VLC. Since VLC facilitates illumination and data communication simultaneously, it reduces energy consumption significantly. Additionally, VLC is immune to electromagnetic interference, provides high data security, and utilizes unregulated visible light spectrum, showing promise as a potentially cheaper alternative to existing radio frequency (RF) based technology. Moreover, recent advances in semiconductor materials and solid-state technologies have enabled the development of efficient light-emitting diodes (LEDs) and laser diodes (LDs) which are used as transmitters in a VLC system. Although 10 s of Gbits/s data rate has been demonstrated in indoor VLC links, successful implementation of it in outdoor environments requires further research to overcome the challenges presented by environmental factors, unwanted lights, non-line of sight communication, directional radiation pattern, frequent fragmentation, and so on. Besides, in recent years, semiconductor LDs have been garnering more attention since they can transmit more data over longer distances due to their high quantum efficiency and modulation bandwidth compared to LEDs. As a result, urban planners, policy-makers, transportation engineers, and vehicle manufacturers are recommended to focus on LD-based VLC to facilitate vehicle-to-vehicle and vehicle-to-infrastructure communication. Thus, this paper reviews the most recent developments in VLC technologies, identifies its benefits and potential use in ITS applications, discusses the probable barriers for its implementation in our existing transportation infrastructure, and suggests future research directions and recommendations to overcome its challenges.
The physical-virtual world synchronization to develop the Metaverse will require a massive transmission and exchange of data. In this paper, we introduce semantic communication for the development of virtual transportation networks in the Metaverse. Leveraging the perception capabilities of edge devices, virtual service providers (VSPs) can subscribe to their preferred edge devices to receive the semantic data of interest. However, the demands of the VSPs are highly dependent on the users that they are serving. To address the resource allocation problem amid stochastic user demand, we propose a stochastic semantic transmission scheme (SSTS) based on two-stage stochastic integer programming. Using real data captured by edge devices we deploy in Singapore, the simulation results show that SSTS can minimize the transmission cost of the VSPs while accounting for the users' demand uncertainties.